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技术 2022年11月23日
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Flink1.4.0连接部署在Linux上的Kafka0.10.2时,报如下异常:

org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase  - Async Kafka commit failed.
org.apache.kafka.clients.consumer.CommitFailedException:
Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member.
This means that the time between subsequent calls to poll() was longer than the configured max.poll.interval.ms,
which typically implies that the poll loop is spending too much time message processing.
You can address this either by increasing the session timeout
or by reducing the maximum size of batches returned in poll() with max.poll.records.
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:)
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:)
at org.apache.kafka.clients.consumer.internals.RequestFuture$.onSuccess(RequestFuture.java:)
at org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:)
at org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.fireCompletion(ConsumerNetworkClient.java:)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.firePendingCompletedRequests(ConsumerNetworkClient.java:)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:)
at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:)
at org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerThread.run(KafkaConsumerThread.java:)

根据提示,设置如下配置后,问题解决:

        "session.timeout.ms":
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